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The automatic reconstruction of single neuron cells is essential to enable large-scale data-driven investigations in computational neuroscience. However, few previous methods were able to generate satisfactory results automatically from 3D microscopic images without human intervention. We developed a new algorithm for automatic 3D neuron reconstruction. The main idea of the proposed algorithm is to iteratively track backwards from the potential neuronal termini to the soma centre. The traceddoi:10.1101/109892 fatcat:fr2kqi6ynvcezpaznlret6fcke